System and Method for Geometrodynamic State-Space Analysis of an Analyte
Year: 2025
Type: article
Abstract: The present disclosure provides a system and method for the holistic, real-time modeling of a subject's internal state. The system comprises a wearable sensor apparatus, hereinafter referred to as 'Synapse', configured to acquire a plurality of physiological and biochemical data streams from a user non-invasively. The core of the invention is a computer-implemented method for processing these heterogeneous data streams, transforming them from raw time-series signals into a unified state vector. This state vector represents the user's instantaneous state within a predefined, high-dimensional geometric state-space, referred to as the General Reality Manifold (GRM). The architecture of this manifold, a specific 11-dimensional structure denoted as M(Y11), is derived from a novel axiomatic geometry characterized by a ternary generative rule. This unique geometric foundation provides a non-obvious and structurally-defined framework for integrating and interpreting the user's holistic physiological, affective, and cognitive condition, moving beyond the disconnected metrics of prior art to enable a dynamic, unified representation of subjective experience.
Author: Yıldırım, Emirhan
Institution: Istanbul Medipol University
Language: English
Topic: Emotion and Mood Recognition
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7088168666
FWCI:
Cites:
Cited by:
Related to: